Deep learning for gender estimation using hand radiographs: a comparative evaluation of CNN models.

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Bibliographic Details
Title: Deep learning for gender estimation using hand radiographs: a comparative evaluation of CNN models.
Authors: Ulubaba HE; Department of Radiology, Inonu University, Malatya, Türkiye., Atik İ; Department of Electrical Electronics Engineering, Gaziantep Islam Science and Technology University, Gaziantep, Türkiye., Çiftçi R; Department of Anatomy, Gaziantep Islam Scıence and Technology Unıversıty, Gaziantep, Türkiye., Eken Ö; Department of Physical Education and Sport Teaching, Faculty of Sports Sciences, Inonu University, Malatya, 44280, Türkiye., Aldhahi MI; Department of Rehabilitation Sciences, College of Health and Rehabilitation Sciences, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh, 11671, Saudi Arabia. mialdhahi@pnu.edu.sa.
Source: BMC medical imaging [BMC Med Imaging] 2025 Jul 01; Vol. 25 (1), pp. 260. Date of Electronic Publication: 2025 Jul 01.
Publication Type: Journal Article; Comparative Study
Journal Info: Publisher: BioMed Central Country of Publication: England NLM ID: 100968553 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2342 (Electronic) Linking ISSN: 14712342 NLM ISO Abbreviation: BMC Med Imaging Subsets: MEDLINE
Database: MEDLINE Ultimate
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Description
ISSN:1471-2342
DOI:10.1186/s12880-025-01809-8